For more details :ABSTRACT This paper describes our work which is based on discovering context for text document categorization. The document categorization approach is derived from a combination of a learning paradigm known as relation extraction and an technique known as context discovery. We demonstrate the effectiveness of our categorization approach using reuters 21578 dataset and synthetic real world data from sports domain. Our experimental results indicate that the learned context greatly improves the categorization performance as compared to traditional categorization approaches. KEYWORDS Relation Extraction, Context Discovery, Context Feature Matrix, Context Score Original Source URL : http://aircconline.com/ijdkp/V1N6/1611...
Text categorization is the task of assigning text or documents into pre-specified classes or categor...
With the development of online data, text categorization has become one of the key procedures for ta...
Abstract Recent technological advancements have led to a significant increase in digital documents. ...
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With the dramatic growth of text information, there is an increasing need for powerful text mining s...
Text categorization, or the assignment of natural language texts to predefined categories based on t...
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Master of ScienceDepartment of Computer ScienceWilliam HsuThis work describes a comparative study of...
Text categorization is the task of assigning text or documents into pre-specified classes or categor...
With the development of online data, text categorization has become one of the key procedures for ta...
Abstract Recent technological advancements have led to a significant increase in digital documents. ...
Assistance in retrieving of documents on the World Wide Web is provided either by search engines, th...
Two recently implemented machine learning algorithms, RIPPER and sleeping experts for phrases, are e...
With the dramatic growth of text information, there is an increasing need for powerful text mining s...
In this informative age, we find many documents are available in digital forms which need classifica...
Abstract: In this paper we present an innovative hybrid Text Classification (TC) system that bridges...
With the dramatic growth of text information, there is an increasing need for powerful text mining s...
Text categorization, or the assignment of natural language texts to predefined categories based on t...
We present a 3-step framework that learns categories and their instances from natural language text ...
Document understanding requires discovery of meaningful patterns in text, which in turn involves ana...
Abstract: Assistance in retrieving documents on the World Wide Web is provided either by search engi...
Summarizing a collection of unstructured textual documents, e.g., lecture slides or book chapters, b...
Master of ScienceDepartment of Computer ScienceWilliam HsuThis work describes a comparative study of...
Text categorization is the task of assigning text or documents into pre-specified classes or categor...
With the development of online data, text categorization has become one of the key procedures for ta...
Abstract Recent technological advancements have led to a significant increase in digital documents. ...